Update app.py

app.py

@@ -7,7 +7,7 @@ import numpy as np
 model = load_model('eee.keras')
 
 def image_mod(image_mod):
-    img = cv2.imread("640px-Foggy_Coastline.JPG")
+    img = cv2.imread("Foggy_morning_Bucharest.jpg")
     resize = tf.image.resize(img, (256, 256))
     plt.imshow(resize.numpy().astype(int))
     yhat = model.predict(np.expand_dims(resize,0))
@@ -28,4 +28,4 @@ def image_mod(image_mod):
 gr.Interface(fn=image_mod,
              inputs=gr.Image(shape=(256, 256)),
              outputs=gr.Label(num_top_classes=3),
-             examples=["Daedalus_000355_171913_516869_4578_(36155269413).jpg","Utah_solar;_a_photovoltaic_power_station_(36293687776).jpg","640px-Foggy_Coastline.JPG","Jida,_Zhuhai,_rainy_day.jpg","Snow_on_Branches,_Beechview,_2020-12-17,_01.jpg"]).launch()
+             examples=["Daedalus_000355_171913_516869_4578_(36155269413).jpg","Utah_solar;_a_photovoltaic_power_station_(36293687776).jpg","Foggy_morning_Bucharest.jpg","Jida,_Zhuhai,_rainy_day.jpg","Snow_on_Branches,_Beechview,_2020-12-17,_01.jpg"]).launch()